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Related papers: Estimation of Physiological Motion Using Highly Ac…

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We propose DoubleFusion, a new real-time system that combines volumetric dynamic reconstruction with data-driven template fitting to simultaneously reconstruct detailed geometry, non-rigid motion and the inner human body shape from a single…

Computer Vision and Pattern Recognition · Computer Science 2018-04-18 Tao Yu , Zerong Zheng , Kaiwen Guo , Jianhui Zhao , Qionghai Dai , Hao Li , Gerard Pons-Moll , Yebin Liu

In conventional 2D DCE-US, motion correction algorithms take advantage of accompanying side-by-side anatomical Bmode images that contain time-stable features. However, current commercial models of 3D DCE-US do not provide side-by-side Bmode…

Image and Video Processing · Electrical Eng. & Systems 2020-10-06 Jia-Shu Chen , Maged Goubran Ph. D. , Gaeun Kim , Jurgen K. Willmann M. D. , Michael Zeineh M. D. , Ph. D. , Dimitre Hristov Ph. D. , Ahmed El Kaffas Ph. D

Single-pixel imaging (SPI) exhibits cost-effectiveness, broad spectrum, and stable sub-Nyquist sampling reconstruction, enabling applications across diverse imaging fields.However, due to the inherent reconstruction mechanism, SPI is not…

Optics · Physics 2025-04-18 Shao Chongwu , Cao Yue , Zhao Qing , Yao Xuri

Intravoxel incoherent motion (IVIM) is a diffusion-weighted magnetic resonance imaging (MRI) method that may be applied to the placenta to help diagnose abnormal pregnancies. IVIM requires prolonged scan times, followed by a model-based…

Image and Video Processing · Electrical Eng. & Systems 2025-11-04 Mbaimou Auxence Ngremmadji , Freddy Odille , Charline Bertholdt , Marine Beaumont , Olivier Morel , Bailiang Chen

Purpose: Spinal instability is a widespread condition that causes pain, fatigue, and restricted mobility, profoundly affecting patients' quality of life. In clinical practice, the gold standard for diagnosis is dynamic X-ray imaging.…

Medical Physics · Physics 2026-02-16 Feng Li , Yuan Bi , Tianyu Song , Zhongliang Jiang , Nassir Navab

Magnetic Resonance Imaging (MRI) is highly susceptible to motion artifacts due to the extended acquisition times required for k-space sampling. These artifacts can compromise diagnostic utility, particularly for dynamic imaging. We propose…

Image and Video Processing · Electrical Eng. & Systems 2025-07-04 Frederic Wang , Jonathan I. Tamir

The ability to predict motion in real time is fundamental to many maneuvering activities in animals, particularly those critical for survival, such as attack and escape responses. Given its significance, it is no surprise that motion…

Image and Video Processing · Electrical Eng. & Systems 2025-09-16 Subhradip Chakraborty , Shay Snyder , Md Abdullah-Al Kaiser , Maryam Parsa , Gregory Schwartz , Akhilesh R. Jaiswal

Background: Quantitative stress perfusion cardiovascular magnetic resonance (CMR) is a powerful tool for assessing myocardial ischemia. Motion correction is essential for accurate pixel-wise mapping but traditional registration-based…

Computer Vision and Pattern Recognition · Computer Science 2025-10-02 Noortje I. P. Schueler , Nathan C. K. Wong , Richard J. Crawley , Josien P. W. Pluim , Amedeo Chiribiri , Cian M. Scannell

Phase-shifting profilometry (PSP) enables high-accuracy 3D reconstruction but remains highly susceptible to object motion. Although numerous studies have explored compensation for motion-induced errors, residual inaccuracies still persist,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Geyou Zhang , Kai Liu , Ao Li , Ce Zhu

Purpose, To develop a high scanning efficiency, motion corrected imaging strategy for free-breathing pulmonary MRI by combining a motion compensation reconstruction with a UTE acquisition, called iMoCo UTE. Methods, An optimized golden…

Image and Video Processing · Electrical Eng. & Systems 2020-02-03 Xucheng Zhu , Marilynn Chan , Michael Lustig , Kevin Johnson , Peder Larson

This paper addresses the challenges of estimating a continuous-time human motion field from a stream of events. Existing Human Mesh Recovery (HMR) methods rely predominantly on frame-based approaches, which are prone to aliasing and…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Ziyun Wang , Ruijun Zhang , Zi-Yan Liu , Yufu Wang , Kostas Daniilidis

We propose a magnetic resonance (MR)-based method for estimation of continuous linear attenuation coefficients (LAC) in positron emission tomography (PET) using a physical compartmental model and ultrashort echo time (UTE)/multi-echo Dixon…

Modeling of respiratory motion is important for a more accurate understanding and accounting of its effect on dose to cancers in the thorax and abdomen by radiotherapy. We have developed a model of respiration-induced organ motion in the…

Dynamic positron emission tomography (PET) images can reveal the distribution of tracers in the organism and the dynamic processes involved in biochemical reactions, and it is widely used in clinical practice. Despite the high effectiveness…

Image and Video Processing · Electrical Eng. & Systems 2025-12-22 Jie Sun , Junyan Zhang , Qian Xia , Chuanfu Sun , Yumei Chen , Yunjie Yang , Huafeng Liu , Wentao Zhu , Qiegen Liu

Magnetic resonance imaging (MRI) nowadays serves as an important modality for diagnostic and therapeutic guidance in clinics. However, the {\it slow acquisition} process, the dynamic deformation of organs, as well as the need for {\it…

Machine Learning · Computer Science 2016-09-15 Morteza Mardani , Georgios B. Giannakis , Kamil Ugurbil

The study of moving particles (e.g. molecules, virus, vesicles, organelles, or whole cells) is crucial to decipher a plethora of cellular mechanisms within physiological and pathological conditions. Powerful live-imaging approaches enable…

Numerical Analysis · Mathematics 2023-11-13 Eloina Corradi , Maurizio Tavelli , Marie-Laure Baudet , Walter Boscheri

Continuous protocols for cardiac magnetic resonance imaging enable sampling of the cardiac anatomy simultaneously resolved into cardiac phases. To avoid respiration artifacts, associated motion during the scan has to be compensated for…

Computer Vision and Pattern Recognition · Computer Science 2020-12-29 Elisabeth Hoppe , Jens Wetzl , Philipp Roser , Lina Felsner , Alexander Preuhs , Andreas Maier

The standard approach to densely reconstruct the motion in a volume of fluid is to inject high-contrast tracer particles and record their motion with multiple high-speed cameras. Almost all existing work processes the acquired multi-view…

Computer Vision and Pattern Recognition · Computer Science 2019-11-25 Katrin Lasinger , Christoph Vogel , Thomas Pock , Konrad Schindler

Cardiac motion estimation is critical to the assessment of cardiac function. Myocardium feature tracking (FT) can directly estimate cardiac motion from cine MRI, which requires no special scanning procedure. However, current deep…

Image and Video Processing · Electrical Eng. & Systems 2020-08-19 Pingjun Chen , Xiao Chen , Eric Z. Chen , Hanchao Yu , Terrence Chen , Shanhui Sun

Automated quality assessment of structural brain MRI is an important prerequisite for reliable neuroimaging analysis, but yet remains challenging due to motion artifacts and poor generalization across acquisition sites. Existing approaches…

Image and Video Processing · Electrical Eng. & Systems 2026-03-09 Naveetha Nithianandam , Prabhjot Kaur , Anil Kumar Sao
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